The Art Of Data Analysis
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The Art Of Data Analysis
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Author : Kristin H. Jarman
language : en
Publisher: John Wiley & Sons
Release Date : 2013-04-17
The Art Of Data Analysis written by Kristin H. Jarman and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-17 with Mathematics categories.
A friendly and accessible approach to applying statistics in the real world With an emphasis on critical thinking, The Art of Data Analysis: How to Answer Almost Any Question Using Basic Statistics presents fun and unique examples, guides readers through the entire data collection and analysis process, and introduces basic statistical concepts along the way. Leaving proofs and complicated mathematics behind, the author portrays the more engaging side of statistics and emphasizes its role as a problem-solving tool. In addition, light-hearted case studies illustrate the application of statistics to real data analyses, highlighting the strengths and weaknesses of commonly used techniques. Written for the growing academic and industrial population that uses statistics in everyday life, The Art of Data Analysis: How to Answer Almost Any Question Using Basic Statistics highlights important issues that often arise when collecting and sifting through data. Featured concepts include: • Descriptive statistics • Analysis of variance • Probability and sample distributions • Confidence intervals • Hypothesis tests • Regression • Statistical correlation • Data collection • Statistical analysis with graphs Fun and inviting from beginning to end, The Art of Data Analysis is an ideal book for students as well as managers and researchers in industry, medicine, or government who face statistical questions and are in need of an intuitive understanding of basic statistical reasoning.
The Art Of Data Science
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Author : Roger D. Peng
language : en
Publisher:
Release Date : 2016-06-08
The Art Of Data Science written by Roger D. Peng and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-08 with Business & Economics categories.
"This book describes the process of analyzing data. The authors have extensive experience both managing data analysts and conducting their own data analyses, and this book is a distillation of their experience in a format that is applicable to both practitioners and managers in data science."--Leanpub.com.
The Art Of Statistics
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Author : David Spiegelhalter
language : en
Publisher: Hachette UK
Release Date : 2019-09-03
The Art Of Statistics written by David Spiegelhalter and has been published by Hachette UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-03 with Mathematics categories.
In this "important and comprehensive" guide to statistical thinking (New Yorker), discover how data literacy is changing the world and gives you a better understanding of life’s biggest problems. Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence -- and even more so if we hope to participate in the future, rather than being simple bystanders. In The Art of Statistics, world-renowned statistician David Spiegelhalter shows readers how to derive knowledge from raw data by focusing on the concepts and connections behind the math. Drawing on real world examples to introduce complex issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether a notorious serial killer could have been caught earlier, and if screening for ovarian cancer is beneficial. The Art of Statistics not only shows us how mathematicians have used statistical science to solve these problems -- it teaches us how we too can think like statisticians. We learn how to clarify our questions, assumptions, and expectations when approaching a problem, and -- perhaps even more importantly -- we learn how to responsibly interpret the answers we receive. Combining the incomparable insight of an expert with the playful enthusiasm of an aficionado, The Art of Statistics is the definitive guide to stats that every modern person needs.
The Art Of Data Analysis And Modeling
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-05-10
The Art Of Data Analysis And Modeling written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-10 with Science categories.
**The Art of Data Analysis and Modeling** is a comprehensive guide to the art of data analysis and modeling, designed to equip readers with the knowledge and skills necessary to extract meaningful insights from data. This book takes a practical approach, providing step-by-step instructions and real-world examples to illustrate the concepts discussed. Whether you are a complete beginner or an experienced professional looking to enhance your data analysis skills, this book has something to offer. It covers a wide range of topics, from fundamental data exploration and visualization techniques to advanced statistical modeling and machine learning algorithms. Throughout the book, a strong emphasis is placed on the practical application of data analysis techniques. Each chapter includes hands-on exercises and case studies that allow readers to apply their newfound knowledge to real-world scenarios. By working through these exercises, readers can develop a deeper understanding of the concepts and techniques presented in the book. In addition to its comprehensive coverage of data analysis and modeling techniques, **The Art of Data Analysis and Modeling** also addresses important ethical considerations in data analysis. The book highlights the potential biases and pitfalls associated with data analysis and provides guidance on how to conduct ethical and responsible data analysis practices. With its clear explanations, practical examples, and engaging writing style, **The Art of Data Analysis and Modeling** is an invaluable resource for anyone interested in mastering the art of data analysis and modeling. This book is perfect for: * Business analysts and data scientists looking to enhance their skills * Researchers and students in fields such as social sciences, economics, and marketing * Individuals looking to gain a deeper understanding of data and its role in decision-making * Anyone interested in leveraging data to solve real-world problems If you are ready to take your data analysis skills to the next level, **The Art of Data Analysis and Modeling** is the book for you. If you like this book, write a review on google books!
Mastering The Art Of Data Analysis From Basics To Informed Decision Making
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Author : Space Learn
language : en
Publisher: Space Learn
Release Date : 2023-11-02
Mastering The Art Of Data Analysis From Basics To Informed Decision Making written by Space Learn and has been published by Space Learn this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-02 with Computers categories.
" Improve your decision-making with this stripped-down primer to data analytics. Wish to broaden your skill set to include data analytics? Are you having problems knowing where to begin? This book gives you the vocabulary, resources, and fundamental techniques you need to think like a data scientist, bit by bit and cell by cell. In order to increase your data literacy, each chapter adds to and links discrete knowledge blocks using the "Lego set" method. You may go from knowing nothing about data analytics to confidently understanding and debating data issues with this step-by-step guide. This Book Is for Whom? Anyone interested in understanding data analytics should read this book because it doesn't assume any knowledge of complex math or data science terms. This book is for you if you've attempted to understand data analytics in the past but failed. This book emphasizes experiential learning. This contains two bonus Python coding exercises with free video content to guide you through both, as well as visual and practical examples. You will have the necessary skills by the end of the book to handle actual data issues in your business or day-to-day activities. "
Handbook Of Data Analysis
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Author : Melissa A Hardy
language : en
Publisher: SAGE
Release Date : 2009-06-17
Handbook Of Data Analysis written by Melissa A Hardy and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-06-17 with Social Science categories.
′This book provides an excellent reference guide to basic theoretical arguments, practical quantitative techniques and the methodologies that the majority of social science researchers are likely to require for postgraduate study and beyond′ - Environment and Planning ′The book provides researchers with guidance in, and examples of, both quantitative and qualitative modes of analysis, written by leading practitioners in the field. The editors give a persuasive account of the commonalities of purpose that exist across both modes, as well as demonstrating a keen awareness of the different things that each offers the practising researcher′ - Clive Seale, Brunel University ′With the appearance of this handbook, data analysts no longer have to consult dozens of disparate publications to carry out their work. The essential tools for an intelligent telling of the data story are offered here, in thirty chapters written by recognized experts. ′ - Michael Lewis-Beck, F Wendell Miller Distinguished Professor of Political Science, University of Iowa ′This is an excellent guide to current issues in the analysis of social science data. I recommend it to anyone who is looking for authoritative introductions to the state of the art. Each chapter offers a comprehensive review and an extensive bibliography and will be invaluable to researchers wanting to update themselves about modern developments′ - Professor Nigel Gilbert, Pro Vice-Chancellor and Professor of Sociology, University of Surrey This is a book that will rapidly be recognized as the bible for social researchers. It provides a first-class, reliable guide to the basic issues in data analysis, such as the construction of variables, the characterization of distributions and the notions of inference. Scholars and students can turn to it for teaching and applied needs with confidence. The book also seeks to enhance debate in the field by tackling more advanced topics such as models of change, causality, panel models and network analysis. Specialists will find much food for thought in these chapters. A distinctive feature of the book is the breadth of coverage. No other book provides a better one-stop survey of the field of data analysis. In 30 specially commissioned chapters the editors aim to encourage readers to develop an appreciation of the range of analytic options available, so they can choose a research problem and then develop a suitable approach to data analysis.
The Art And Science Of Technical Analysis
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Author : Adam Grimes
language : en
Publisher: John Wiley & Sons
Release Date : 2012-05-31
The Art And Science Of Technical Analysis written by Adam Grimes and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-05-31 with Business & Economics categories.
A breakthrough trading book that provides powerful insights on profitable technical patterns and strategies The Art and Science of Technical Analysis is a groundbreaking work that bridges the gaps between the academic view of markets, technical analysis, and profitable trading. The book explores why randomness prevails in markets most, but not all, of the time and how technical analysis can be used to capture statistically validated patterns in certain types of market conditions. The belief of the book is that buying and selling pressure causes patterns in prices, but that these technical patterns are only effective in the presence of true buying/selling imbalance. The Art and Science of Technical Analysis is supported by extensive statistical analysis of the markets, which will debunk some tools and patterns such as Fibonacci analysis, and endorse other tools and trade setups. In addition, this reliable resource discusses trader psychology and trader learning curves based on the author's extensive experience as a trader and trainer of traders. Offers serious traders a way to think about market problems, understand their own performance, and help find a more productive path forward Includes extensive research to validate specific money-making patterns and strategies Written by an experienced market practitioner who has trained and worked with many top traders Filled with in-depth insights and practical advice, The Art and Science of Technical Analysis will give you a realistic sense of how markets behave, when and how technical analysis works, and what it really takes to trade successfully.
Statistics And Data Visualization Using R
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Author : David S. Brown
language : en
Publisher: SAGE Publications
Release Date : 2021-08-24
Statistics And Data Visualization Using R written by David S. Brown and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-24 with Social Science categories.
Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of Data Analysis by David S. Brown teaches students statistics through charts, graphs, and displays of data that help students develop intuition around statistics as well as data visualization skills. By focusing on the visual nature of statistics instead of mathematical proofs and derivations, students can see the relationships between variables that are the foundation of quantitative analysis. Using the latest tools in R and R RStudio® for calculations and data visualization, students learn valuable skills they can take with them into a variety of future careers in the public sector, the private sector, or academia. Starting at the most basic introduction to data and going through most crucial statistical methods, this introductory textbook quickly gets students new to statistics up to speed running analyses and interpreting data from social science research.
Humanities Data Analysis
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Author : Folgert Karsdorp
language : en
Publisher: Princeton University Press
Release Date : 2021-01-12
Humanities Data Analysis written by Folgert Karsdorp and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-12 with Computers categories.
A practical guide to data-intensive humanities research using the Python programming language The use of quantitative methods in the humanities and related social sciences has increased considerably in recent years, allowing researchers to discover patterns in a vast range of source materials. Despite this growth, there are few resources addressed to students and scholars who wish to take advantage of these powerful tools. Humanities Data Analysis offers the first intermediate-level guide to quantitative data analysis for humanities students and scholars using the Python programming language. This practical textbook, which assumes a basic knowledge of Python, teaches readers the necessary skills for conducting humanities research in the rapidly developing digital environment. The book begins with an overview of the place of data science in the humanities, and proceeds to cover data carpentry: the essential techniques for gathering, cleaning, representing, and transforming textual and tabular data. Then, drawing from real-world, publicly available data sets that cover a variety of scholarly domains, the book delves into detailed case studies. Focusing on textual data analysis, the authors explore such diverse topics as network analysis, genre theory, onomastics, literacy, author attribution, mapping, stylometry, topic modeling, and time series analysis. Exercises and resources for further reading are provided at the end of each chapter. An ideal resource for humanities students and scholars aiming to take their Python skills to the next level, Humanities Data Analysis illustrates the benefits that quantitative methods can bring to complex research questions. Appropriate for advanced undergraduates, graduate students, and scholars with a basic knowledge of Python Applicable to many humanities disciplines, including history, literature, and sociology Offers real-world case studies using publicly available data sets Provides exercises at the end of each chapter for students to test acquired skills Emphasizes visual storytelling via data visualizations
Dyadic Data Analysis
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Author : David A. Kenny
language : en
Publisher: Guilford Publications
Release Date : 2020-11-26
Dyadic Data Analysis written by David A. Kenny and has been published by Guilford Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-26 with Psychology categories.
Interpersonal phenomena such as attachment, conflict, person perception, learning, and influence have traditionally been studied by examining individuals in isolation, which falls short of capturing their truly interpersonal nature. This book offers state-of-the-art solutions to this age-old problem by presenting methodological and data-analytic approaches useful in investigating processes that take place among dyads: couples, coworkers, parent and child, teacher and student, or doctor and patient, to name just a few. Rich examples from psychology and across the behavioral and social sciences help build the researcher's ability to conceptualize relationship processes; model and test for actor effects, partner effects, and relationship effects; and model and control for the statistical interdependence that can exist between partners. The companion website provides clarifications, elaborations, corrections, and data and files for each chapter.